1 citations · 2 across the 5 of their papers we have counts for
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An Asymptotically Optimal Batched Algorithm for the Dueling Bandit Problem
Arpit Agarwal, Rohan Ghuge, Viswanath Nagarajan
We study the -armed dueling bandit problem, a variation of the traditional multi-armed bandit problem in which feedback is obtained in the form of pairwise comparisons. Previous…
A Sharp Memory-Regret Trade-Off for Multi-Pass Streaming Bandits
Arpit Agarwal, Sanjeev Khanna, Prathamesh Patil
The stochastic -armed bandit problem has been studied extensively due to its applications in various domains ranging from online advertising to clinical trials. In practice howe…
Batched Dueling Bandits
Arpit Agarwal, Rohan Ghuge, Viswanath Nagarajan
The -armed dueling bandit problem, where the feedback is in the form of noisy pairwise comparisons, has been widely studied. Previous works have only focused on the sequential s…
Machine learning models for prediction of droplet collision outcomes
Arpit Agarwal
Predicting the outcome of liquid droplet collisions is an extensively studied phenomenon but the current physics based models for predicting the outcomes are poor (accuracy $\appro…